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Observer design for induction motor： an approach based on the mean value theorem

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Frontiers in Energy 2014年第4期8卷 426-433页

作者： mohamed Yacine HAMMOUDI Abdelkarim ALLAG mohamed BECHERIF mohamed benbouzid Hamza ALLOUI MSE Laboratory Department of Electrical Engineering University ofBiskra BP 145 Biskra 07000 Algeria FCLab University of Technology of Belfort-Montbdliard CNRS 3539 Femto-ST UMR 6174 Belfort 90010 France LBMS University of Brest Kergoat street CS 93837 29238 BrestCedex 3 France Ecole militaire polytechnique UER ELT Algiers 1611 Algeria

In this paper, observer design for an induction motor has been investigated. The peculiarity of this paper is the synthesis of a mono-Luenberger observer for highly coupled system. To transform the nonlinear error dynamics for the induction motor into the linear parametric varying （LPV） system, the differential mean value theorem combined with the sector nonlinearity transformation has been used. Stability conditions based on the Lyapunov function lead to solvability of a set of linear matrix inequalities. The proposed observer guarantees the global exponential convergence to zero of the estimation error. Finally, the simulation results are given to show the performance of the observer design.

关键词： observer design differential mean value theorem (DMVT) sector nonlinearity transformation linear matrix inequalities (LMI) induction motor

Exploring impedance spectrum for lithium-ion batteries diagnosis and prognosis:A comprehensive review

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Journal of Energy Chemistry 2024年第8期95卷 464-483,I0010页

作者： Xinghao Du Jinhao Meng Yassine Amirat Fei Gao mohamed benbouzid University of Brest UMR CNRS 6027 IRDL29238 BrestFrance School of Electrical Engineering Xi'an Jiaotong UniversityXi'an 710049ShaanxiChina ISEN Yncréa Ouest L@bISEN29200 BrestFrance Universitéde Technolgie de Belfort-Montbéliard UMR CNRS 6174 FEMTO-ST90000 BelfortFrance

Lithium-ion batteries have extensive usage in various energy storage needs,owing to their notable benefits of high energy density and long *** monitoring of battery states and failure identification are indispensable for guaranteeing the secure and optimal functionality of the *** impedance spectrum has garnered growing interest due to its ability to provide a valuable understanding of material characteristics and electrochemical *** inspire further progress in the investigation and application of the battery impedance spectrum,this paper provides a comprehensive review of the determination and utilization of the impedance *** sources of impedance inaccuracies are systematically analyzed in terms of frequency response *** applicability of utilizing diverse impedance features for the diagnosis and prognosis of batteries is further ***,challenges and prospects for future research are discussed.

关键词： Lithium-ion battery Impedance spectrum Temperature monitoring Failure diagnosis Health prognosis

Two-stage distributionally robust optimization-based coordinated scheduling of integrated energy system with electricity-hydrogen hybrid energy storage

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Protection and Control of Modern Power Systems 2023年第2期8卷 278-291页

作者： Yibin Qiu Qi Li Yuxuan Ai Weirong Chen mohamed benbouzid Shukui Liu Fei Gao School of Electrical Engineering Southwest Jiaotong UniversityChengdu 610031China Institut National des Sciences Appliquées de Rennes 35700 RennesFrance UMR CNRS 6027 IRDL University of Brest29238 BrestFrance Logistics Engineering College Shanghai Maritime UniversityShanghai 201306China Chengdu Power Supply Company State Grid Sichuan Electric Power CompanyChengdu 610000China CNRS Institut FEMTO-STUniversitéde Technologie de Belfort-Montbéliard90000 BelfortFrance.

A coordinated scheduling model based on two-stage distributionally robust optimization(TSDRO)is proposed for integrated energy systems(IESs)with electricity-hydrogen hybrid energy *** scheduling problem of the IES is divided into two stages in the TSDRO-based coordinated scheduling *** first stage addresses the day-ahead optimal scheduling problem of the IES under deterministic forecasting information,while the sec-ond stage uses a distributionally robust optimization method to determine the intraday rescheduling problem under high-order uncertainties,building upon the results of the first *** scheduling model also considers col-laboration among the electricity,thermal,and gas networks,focusing on economic operation and carbon *** flexibility of these networks and the energy gradient utilization of hydrogen units during operation are also incor-porated into the *** improve computational efficiency,the nonlinear formulations in the TSDRO-based coordinated scheduling model are properly linearized to obtain a Mixed-Integer Linear Programming *** Column-Constraint Generation(C&CG)algorithm is then employed to decompose the scheduling model into a mas-ter problem and *** the iterative solution of the master problem and subproblems,an efficient analysis of the coordinated scheduling model is ***,the effectiveness of the proposed TSDRO-based coordinated scheduling model is verified through case *** simulation results demonstrate that the proposed TSDRO-based coordinated scheduling model can effectively accomplish the optimal scheduling task while consider-ing the uncertainty and flexibility of the *** with traditional methods,the proposed TSDRO-based coordinated scheduling model can better balance conservativeness and robustness.

关键词： Two-stage distributionally robust optimization Optimal scheduling Integrated energy systems Hydrogen Uncertainty

Design methodology of permanent magnet generators for fixed-pitch tidal turbines with overspeed power limitation strategy

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Journal of Ocean Engineering and Science 2020年第1期5卷 73-83页

作者： Sofiane Djebarri Jean Frédéric Charpentier Frank Scuiller mohamed benbouzid ECAM Lyon LabECAMF69005 LyonFrance French Naval Academy IRENav EA 363429240 BrestFrance University of Brest UMR CNRS 6027 IRDL29238 BrestFrance Shanghai Maritime University 201306 ShanghaiChina

This paper deals with a design methodology of permanent magnets(PM)generators used for fixed-pitch tidal turbines in a marine renewable energy *** the case of underwater turbines,fixed-pitch tidal turbines could be very attractive and interesting to reduce maintenance operation by avoiding using such a complex electromechanical system for *** this technological case,one of the main control challenges is to ensure power limitation at high tidal current *** control mode can be achieved using the generator *** this context,this paper proposes an original and systemic design methodology to optimize the generator design taking into account the tidal turbine power limitation for high tidal currents velocities.

关键词： Tidal turbine Fixed-pitch turbine Direct-drive PM generator Design methodology Flux-weakening power limitation.

Impact evaluation of large scale integration of electric vehicles on power grid

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Frontiers in Energy 2020年第2期14卷 337-346页

作者： Rabah BOUDINA Jie WANG mohamed benbouzid Farid KHOUCHA mohamed BOUDOUR Department of Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China University of Brest FRE CNRS 3744 IRDLBrest 29238France Shanghai Maritime University Shanghai 201306China Ecole Militaire Poly technique UER ELTAlgiers 16111Algeria Laboratory of Electric Industrial System(LSEI) University of Science and TechnologyHouari BoumedienneAlgiers 16111Algeria

As the world witnesses a continual increase in the global energy demand,the task of meeting this demand is becoming more difficult due to the limitation in fuel resources as well as the greenhouse gases emitted which accelerate the climate *** a result,introducing a policy that promotes renewable energy(RE)generation and integration is inevitable for sustainable *** this endeavor,electrification of the transport sector rises as key point in reducing the accelerating environment degradation,by the deployment of new type of vehicles referred to as PHEV(plug-in hybrid electric vehicle).Besides being able to use two kinds of drives(the conventional internal combustion engine and the electric one)to increase the total efficiency,they come with a grid connection and interaction capability known as the vehicle-to-grid(V2G)that can play a supporting role for the whole power system by providing many ancillary services such as energy storage mean and power quality ***,all these advantages do not come *** uncontrolled large scale EV integration may present a real challenge and source of possible failure and instability for the *** this work the large scale integration impact of EVs will be investigated in *** results of power flow analysis and the dynamic response of the grid parameters variation are presented,taking the IEEE 14 bus system as a test grid system.

关键词： PHEV vehicle-to-grid(V2G) technical impact IEEE 14 bus power flow analysis

High-order sliding mode control of a doubly salient permanent magnet machine driving marine current turbine

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Journal of Ocean Engineering and Science 2021年第1期6卷 12-20页

作者： Hao Chen Shifeng Tang Jingang Han Tianhao Tang Nadia Aït-Ahmed Zhibin Zhou mohamed benbouzid The Institute of Power Drive and Control Shanghai Maritime University201306ShanghaiChina Institut de Recherche en Energie Electrique de Nantes Atlantique University of Nantes44602Saint-NazaireFrance ISEN Yncréa Ouest University of BrestFRE CNRS 3744 IRDL29200BrestFrance University of Brest UMR CNRS 6027 IRDL29238BrestFrance

Due to the harsh and changeable marine environment,one low speed stator-permanent magnet machine named doubly salient permanent magnet machine with toothed pole is applied for marine current energy conversion ***,this machine has simple structure,intriguing fault tolerance,and higher power density,which could adequately satisfy the different complicated operation ***,its permanent magnet flux-linkage has the same variation period as the inductance which leads to a strong nonlinear coupling ***,the torque ripple caused by this special characteristics,uncertainty of system parameters and disturbance of load greatly increases the difficulty of control in this strongly coupling ***,the classical linear PI controller is difficult to meet the system *** this paper,the high-order sliding mode control strategy based on the super-twisting algorithm for this system is creatively utilized for the first *** stability of the system within a limited time is also proved with a quadratic Lyapunov *** relative simulation results demonstrate convincingly that,the high-order sliding mode control has little chattering,high control accuracy and strong robustness.

关键词： Doubly salient permanent magnet machine Torque ripple Chattering High-order sliding mode control Super-twisting algorithm

Cross-domain diagnosis for polymer electrolyte membrane fuel cell based on digital twins and transfer learning network

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Energy and AI 2024年第3期17卷 555-568页

作者： Zhichao Gong Bowen Wang mohamed benbouzid Bin Li Yifan Xu Kai Yang Zhiming Bao Yassine Amirat Fei Gao Kui Jiao State Key Laboratory of Engines Tianjin University135 Yaguan RoadTianjin300350China University of Brest UMR CNRS 6027 IRDL29238BrestFrance National Industry-Education Platform for Energy Storage Tianjin University135 Yaguan RoadTianjin300350China The Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin300072China Ability R&D Energy Research Centre School of Energy and EnvironmentCity University of Hong KongKowloonHong KongChina University of Technology of Belfort-Montbéliard CNRSInstitut FEMTO-STF-90010BelfortFrance ISEN Yncréa Ouest Brest UMR CNRS 6027 IRDL29200BrestFrance

Existing research on fault diagnosis for polymer electrolyte membrane fuel cells(PEMFC)has advanced significantly,yet performance is hindered by variations in data distributions and the requirement for extensive fault *** this study,a cross-domain adaptive health diagnosis method for PEMFC is proposed,integrating the digital twin model and transfer convolutional diagnosis model.A physical-based high-fidelity digital twin model is developed to obtain diverse and high-quality datasets for training diagnosis *** extract long-term time series features from the data,a temporal convolutional network(TCN)is proposed as a pre-trained diagnosis model for the source domain,with feature extraction layers that can be reused to the transfer learning *** is demonstrated that the proposed pre-trained model can hold the ability to accurately diagnose the various fuel cell faults,including pressure,drying,flow,and flooding faults,with 99.92%accuracy,through the effective capture of the long-term dependencies in time series ***,a domain adaptive transfer convolutional network(DATCN)is established to improve the diagnosis accuracy across diverse fuel cells by learning domain-invariant *** results show that the DATCN model,tested on three different target domain devices with adversarial training using only 10%normal data,can achieve an average accuracy of 98.5%(30%improved over traditional diagnosis models).This proposed method provides an effective solution for accurate cross-domain diagnosis of PEMFC devices,significantly reducing the reliance on extensive fault data.

关键词： Fuel cell Fault diagnosis Transfer learning Digital twins Cross-domain adaptation

设计最优等价空间残差产生器的新的混合优化方法

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高技术通讯 2014年第12期24卷 1296-1305页

作者：张健王天真胡雄 mohamed Ei Hachemi benbouzid 上海海事大学电气工程系上海200135 法国海军学院研究所法国布雷斯特29200 布雷斯特大学法国布雷斯特29200

研究了有突变故障采样数据(SD)系统的最优等价空间残差产生器的设计。针对用等价空间残差产生器进行SD系统故障检测时,检测结果的好坏与等价空间向量的选择密切相关,设计SD系统等价空间残差产生器的传统间接优化方法和直接优化方法均把... 详细信息

研究了有突变故障采样数据(SD)系统的最优等价空间残差产生器的设计。针对用等价空间残差产生器进行SD系统故障检测时,检测结果的好坏与等价空间向量的选择密切相关,设计SD系统等价空间残差产生器的传统间接优化方法和直接优化方法均把扰动和故障看做是同一类型,导致最后设计的有突变故障SD系统残差产生器对扰动的鲁棒性差,无法对突变故障进行有效检测的情况,提出了一种设计最优等价空间残差产生器的新的混合优化方法。理论分析证明,用该方法设计的等价空间残差产生器的性能,要优于采用传统直接优化方法和间接优化方法设计的产生器,而且随着等价关系阶数s的增大,性能会进一步增强。仿真结果验证了该方法的有效性。

关键词：采样数据系统等价空间法残差产生器混合优化方法

Non Linear Magnetic Hysteresis Modelling by Finite Volume Method for Jiles-Atherton Model Optimizing by a Genetic Algorithm

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Journal of Electromagnetic Analysis and Applications 2011年第6期3卷 191-198页

作者： Seddik Azzaoui Kamel Srairi mohamed El Hachemi benbouzid DIMMER Laboratory of Microwaves Devices and Materials for Renewable Energy Department of Sciences Technology University of Djelfa LESM Laboratory of Energy Systems Modeling University of Biskra Université de Bretagne Occidentale

This paper describes a generalization methodology for nonlinear magnetic field calculation applied on two-dimensional (2-D) finite Volume geometry by incorporating a Jiles-Atherton scalar hysteresis model. The scheme is based upon the definition of modified governing equation derived from Maxwell’s equations considered the magnetization M. This paper shows how to extract optimal parameters for the Jiles-Atherton model of hysteresis by a real coded genetic algorithm approach. The parameters identification is performed by minimizing the mean squared error between experimental and simulated magnetic field curves. The calculated results are validated by experiences performed in an SST’s frame.

关键词： Magnetic Hysteresis Jiles-Atherton Model Genetic Algorithm Optimization Parameters Identification Finite Volume Method (FVM)